Triple

T6319950
Position Surface form Disambiguated ID Type / Status
Subject Hope Solo E141712 entity
Predicate givenName P17 FINISHED
Object Hope E121468 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hope | Statement: [Hope Solo, givenName, Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope
Context triple: [Hope Solo, givenName, Hope]
  • A. Hope
    Hope is a small village in the Peak District of Derbyshire, England, known for its scenic surroundings and role as a local tourist and walking hub.
  • B. Hope chosen
    Hope is a feminine given name often associated with optimism and positive expectation.
  • C. Hope
    "Hope" is a popular hip hop single by Twista featuring Faith Evans that reflects on struggle, resilience, and aspirations for a better future.
  • D. Hope
    "Hope" is a symbolist painting by French artist Pierre Puvis de Chavannes that depicts an allegorical female figure embodying spiritual resilience and optimism amid desolation.
  • E. Hope
    Hope is a small town in southwestern British Columbia, Canada, known as a key transportation hub at the eastern end of the Fraser Valley and the gateway to several major highways through the mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48485308190adc2208ad46faaa7 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.